Lead the implementation of cloud and AI solutions, build RESTful APIs and microservices, collaborate with teams, and optimize Python code.
We're a premier AI consultancy that transforms how organizations leverage artificial intelligence. Our team combines deep technical expertise with a consultative approach to deliver innovative AI solutions that create lasting business impact.
Join Provectus as a Senior Full-stack Python Engineer/ Consultant and lead the implementation of cutting-edge cloud and AI solutions. In this role, you'll combine deep technical expertise with strategic consulting skills to deliver transformative results for our clients.
Responsibilities:
- Build and manage RESTful APIs, and microservices using frameworks such as FastAPI, Django REST, or Flask.
- Work with the client to proactively identify other use cases.
- Collaborate with cross-functional teams, including Data, and ML engineers to deliver high-quality products.
- Build a UI for the API with React/ Vue so that non-technical consumers can use it (for instance, a search bar, filters, etc.).
- Profile and optimize Python code to enhance performance.
- Write clean, maintainable, and well-documented code.
- Stay updated with the latest Python and AI technology developments and propose innovative solutions.
Requirements:
- Strong proficiency in Python or TypeScript programming.
- Solid understanding of object-oriented programming (OOP) and software design patterns.
- Experience in building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask.
- Proven experience in optimizing and profiling Python code for performance.
- Understanding of microservices architecture and related patterns.
- Proficiency in AWS Lambda, Step Functions, and API Gateway.
- Strong experience in AWS RDS like SQL or NoSQL databases, etc.
- Familiar with React or Vue and ability to handle UI tasks and support basic frontend applications.
- Experience developing AI solutions and automation workflows using AWS Bedrock, SageMaker, and ML frameworks.
- Solid software engineering skills, with the ability to produce well-structured, maintainable code.
- Experience with unit testing and test-driven development.
- Excellent communication and problem-solving skills.
- Upper-intermediate or Advanced English skills.
- Knowledge of generative AI and experience with Retrieval Augmented Generation (RAG) architectures.
- Experience with CI/CD pipelines and automation.
- Experience with Docker for containerization and Kubernetes for orchestration.
Nice to Have:
Top Skills
Aws Api Gateway
Aws Lambda
Aws Rds
Aws Step Functions
Django Rest
Docker
Fastapi
Flask
Kubernetes
NoSQL
Python
React
SQL
Typescript
Vue
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